A Novel Automatic Method for the Urban Canyon Parametrization Needed by Turbulence Numerical Simulations for Wind Energy Potential Assessment

The energy transition to more sustainable forms is currently ongoing worldwide, because of the environmental impacts produced by the non-renewable energy sources employed in the last decades. Among the main alternatives, wind plays a key role and, nowadays, innovative instruments, such as small-scal...

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Veröffentlicht in:	Energies (Basel) Jg. 14; H. 16; S. 4969
Hauptverfasser:	Salvadori, Luca, Di Bernardino, Annalisa, Querzoli, Giorgio, Ferrari, Simone
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.08.2021
Schlagworte:	Alternative energy sources Atmospheric boundary layer atmospheric turbulence simulation Boundary conditions Buildings Case studies Energy resources Geographic information systems Laboratories Morphology Renewable resources Simulation Turbines urban canyon Urban heat islands urban morphometry Voronoi polygons wind energy Wind power
ISSN:	1996-1073, 1996-1073
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Abstract	The energy transition to more sustainable forms is currently ongoing worldwide, because of the environmental impacts produced by the non-renewable energy sources employed in the last decades. Among the main alternatives, wind plays a key role and, nowadays, innovative instruments, such as small-scale turbines allow for installation of wind turbines in urban areas. Their energy potential assessment requires high-accuracy simulations of the turbulent flows in the urban canopy layer, which, in turn, require detailed information about the geometrical properties of the basic element to classify urban surfaces, i.e., the urban canyon, often not available. In this work, we propose a novel automatic method, based on Voronoi graph, to univocally identify urban canyons and to extract their geometrical parameters from online available GIS (Geographic Information System) data, and test it on four European cities that differ in size, story and location. Results show the capability of the method to identify the single urban canyon and to properly extract its geometrical parameters, which tend to assume similar values for the largest cities. Moreover, we first attempt to propose and test some curves to generally describe the data probability distribution, which may be useful for turbulence simulations for urban wind energy assessment and planning. The best results are found for the canyon aspect ratio.
AbstractList	The energy transition to more sustainable forms is currently ongoing worldwide, because of the environmental impacts produced by the non-renewable energy sources employed in the last decades. Among the main alternatives, wind plays a key role and, nowadays, innovative instruments, such as small-scale turbines allow for installation of wind turbines in urban areas. Their energy potential assessment requires high-accuracy simulations of the turbulent flows in the urban canopy layer, which, in turn, require detailed information about the geometrical properties of the basic element to classify urban surfaces, i.e., the urban canyon, often not available. In this work, we propose a novel automatic method, based on Voronoi graph, to univocally identify urban canyons and to extract their geometrical parameters from online available GIS (Geographic Information System) data, and test it on four European cities that differ in size, story and location. Results show the capability of the method to identify the single urban canyon and to properly extract its geometrical parameters, which tend to assume similar values for the largest cities. Moreover, we first attempt to propose and test some curves to generally describe the data probability distribution, which may be useful for turbulence simulations for urban wind energy assessment and planning. The best results are found for the canyon aspect ratio.
Author	Di Bernardino, Annalisa Querzoli, Giorgio Salvadori, Luca Ferrari, Simone
Author_xml	– sequence: 1 givenname: Luca surname: Salvadori fullname: Salvadori, Luca – sequence: 2 givenname: Annalisa orcidid: 0000-0003-3765-2179 surname: Di Bernardino fullname: Di Bernardino, Annalisa – sequence: 3 givenname: Giorgio orcidid: 0000-0003-3770-6034 surname: Querzoli fullname: Querzoli, Giorgio – sequence: 4 givenname: Simone orcidid: 0000-0001-6438-0688 surname: Ferrari fullname: Ferrari, Simone
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SubjectTerms	Alternative energy sources Atmospheric boundary layer atmospheric turbulence simulation Boundary conditions Buildings Case studies Energy resources Geographic information systems Laboratories Morphology Renewable resources Simulation Turbines urban canyon Urban heat islands urban morphometry Voronoi polygons wind energy Wind power
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Title	A Novel Automatic Method for the Urban Canyon Parametrization Needed by Turbulence Numerical Simulations for Wind Energy Potential Assessment
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